Lead Analyst Data Science

$125,000 - $145,000/Yr

Colorado Rockies Baseball Club - Denver, CO

Full-time - Mid Level

Denver, CO

Performing Arts, Spectator Sports, and Related Industries

About the position

The Lead Analyst - Data Science at the Colorado Rockies Baseball Club is a pivotal role focused on leveraging advanced statistical methods and machine learning to enhance team performance and decision-making. This position involves collaborating with various departments to analyze player performance, develop predictive models, and generate actionable insights that directly impact the team's success. The analyst will work in a fast-paced sports environment, utilizing data to support scouting, player development, and overall baseball operations.

Responsibilities

• Design, build, test, and deploy statistical and machine learning models to support baseball operations.
• Analyze large and complex data on player performance, game statistics, and team metrics.
• Develop and refine predictive models to forecast player performance and game outcomes.
• Translate data analysis into actionable insights and recommendations for coaching staff and management.
• Create detailed reports and visualizations to communicate findings effectively.
• Design and implement data tools and dashboards for real-time decision-making.
• Stay current with advancements in data science and sports analytics.
• Collaborate with the R&D team and improve existing projects.
• Ensure accurate and efficient data collection, storage, and management.
• Prepare and deliver presentations to summarize findings.

Requirements

• Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data science or statistical analysis, preferably in a sports context.
• Proficiency in programming languages such as Python or R for data analysis and modeling.
• Experience with data analysis tools and libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow).
• Strong knowledge of statistical methods and machine learning algorithms.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with a database language such as SQL.
• Experience working with spatiotemporal data and high-dimensional time series data.

Nice-to-haves

• Experience with deep learning frameworks such as TensorFlow or Torch.
• Experience with Bayesian statistics and languages such as Stan.
• Experience with Generative AI techniques such as GANs, VAEs, or other generative models.

Benefits

• Free parking
• Health insurance
• Dental insurance
• Vision insurance
• 401(k) matching
• Employee discount on merchandise
• Employer provided game tickets to home games
• Onsite fitness classes and experiences
• Generous vacation and holiday program